Netflix is one of the world’s leading entertainment services with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

As Netflix continues to grow, we are venturing into exciting new frontiers of personalization and discovery to help our members find the content they will most enjoy. 

Fast-paced innovation in the theory and practice of generative models, particularly, large language models (LLMs) is greatly helping to advance the state-of-the-art of Search and Recommendation experiences. Hence we are looking for an exceptional research engineering manager to help us develop the models and technology to power future experiences using the latest advances related to LLMs and other generative models. 

In this role, you will lead a group of talented machine-learning researchers to develop foundational models that will be used in multiple downstream applications such as Search, Recommendations, Personalization, Messaging, etc.

In this role, you will be responsible for building and leading a team of world-class engineers and researchers doing cutting-edge applied machine learning. You will cultivate a vision and strategy for the team aligned with our mission and guide innovation projects from end-to-end: research ideas to production A/B tests. 

To be successful in this role, you need to have a strong machine learning and engineering background, be data-driven, have a passion for personalization, have an execution focus, a love of learning, and have the ability to partner well with multi-disciplinary, cross-functional teams and stakeholders. You also need to be great at giving and receiving feedback, championing new ideas, fostering an inclusive team culture, mentoring, empowering others, and balancing the needs of both engineering and research.

What we are looking for:

Experience leading a team of machine learning engineers and researchers.

Passion for mentoring and growing people as well as building high performing research teams

A track record of leading successful real-world applications of machine learning.

Experience in building effective research roadmaps with ambitious goals

Ability to lead in alignment with our unique culture.

Broad knowledge of machine learning with a strong mathematical foundation.

Strong understanding of software engineering and large-scale distributed systems.

Great interpersonal skills.

MS or PhD in Computer Science, Statistics, or a related field.

You will ideally have experience with:

10+ years of total experience including 5+ years of machine learning management.

Expertise in Deep Learning and NLP

Leading teams focused on applied machine learning and research engineering.

Experience working on large-scale, consumer-facing machine-learning applications.

Publishing and reviewing at peer reviewed conferences and journals

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top-of-market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $190,000 - $920,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix has a unique culture and environment. Learn more here. 

We are an equal opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.